| Document Date: 2014-11-14 13:59:31
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City Vancouver / / Company Pearson / YouTube / / Country Canada / / Currency USD / cent / / / Facility Michael S. Bernstein Stanford University / / IndustryTerm stopgap solution / end-user systems / hybrid crowd-machine systems / machine feature-driven systems / feature space using systems / build classification systems / machine learning algorithms / computer vision algorithms / interactive machine learning systems / appropriate end-user machine learning tools / hybrid human-machine systems / machine learning algorithm / adaptive majority voting algorithm / machine learning systems / active learning systems / classification systems / deceptive online reviews / crowd-machine learning systems / crowd-machine systems / hybrid systems / statistical machinery / even na¨ıve algorithms / learning algorithms / / Organization National Science Foundation / Stanford University / idf / / Person Claude Monet / Noah Goodman / Alfred Sisley / Walter Lasecki / Justin Cheng / Michael S. Bernstein / / Position Author / experienced Wikipedia editor / representative / crowd worker / / ProgrammingLanguage R / ML / XPath / / ProvinceOrState British Columbia / / SportsLeague Stanford University / / Technology machine learning algorithms / computer vision algorithms / artificial intelligence / machine learning algorithm / hybridization / machine learning system / even na¨ıve algorithms / Machine Learning / adaptive majority voting algorithm / / URL http /
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Flock: Hybrid Crowd-Machine Learning Classifiers Justin Cheng and Michael S. Bernstein Stanford University {jcccf, msb}@cs.stanford.edu ABSTRACT